To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

ObjectiveTo establish a mouse model of rheumatoid arthritis with interstitial lung disease （RA-ILD） in DBA/1 mice using Porphyromonas gingivalis （Pg） infection combined with collagen-induced arthritis （CIA）， and to comprehensively evaluate pathological characteristics in joints， lungs， and serum. MethodsForty DBA/1 mice were randomly divided into four groups， i.e.， Control， Pg infection （Pg）， CIA， and Pg infection combined with CIA （Pg+CIA）， with 10 mice in each group. Arthritis clinical symptoms were evaluated by recording arthritis incidence and clinical scores. Micro-CT scanning was used to assess knee joint pathology. Histopathological changes and collagen deposition in knee joints and lung tissues were analyzed using hematoxylin-eosin （HE） and Masson staining. Immunohistochemistry was performed to detect protein expression of α-smooth muscle actin （α-SMA）， typeⅠ collagen （ColⅠ）， and fibronectin （FN） in lung tissues. Real-time quantitative polymerase chain reaction（Real-time PCR）was used to measure mRNA expression levels of α-SMA， ColⅠ， FN， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and IL-1β in lung tissues. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of Pg， cyclic citrullinated peptide （CCP）， and immunoglobulin G （IgG）. ResultsJoint lesions： The CIA and Pg+CIA groups showed 100% arthritis incidence， with evident joint redness， swelling， and deformity. The number of affected limbs was 27 and 28， and clinical scores were 68 and 70， respectively. No obvious clinical symptoms were observed in the Pg group. Histopathological and imaging analyses showed severe joint lesions in the CIA and Pg+CIA groups， with significantly increased histopathological scores， bone mineral density， bone volume fraction， trabecular thickness， and trabecular number compared to the Control group （P<0.01）. No obvious joint pathology was observed in the Pg group. Lung lesions： The Pg+CIA group exhibited marked alveolar inflammation， interstitial inflammatory cell infiltration， and alveolar wall thickening， with pronounced blue staining of collagen fibers. Histopathological scores and collagen area ratios were significantly higher than those of the Control， Pg， and CIA groups （P<0.05）. Lung protein and mRNA expression levels of α-SMA， ColⅠ， and FN were markedly increased， and mRNA levels of IL-6， TNF-α， and IL-1β were significantly elevated compared to the Control group （P<0.05）. Serology： The Pg+CIA group showed significantly higher levels of CCP， Pg， and IgG compared with the Control， Pg， and CIA groups （P<0.05）. ConclusionDBA/1 mice subjected to Pg infection combined with CIA exhibited pronounced symptoms and pathological features of RA-ILD， along with elevated serum anti-CCP antibody levels. This model represents a novel RA-ILD mouse model， providing a valuable experimental tool for investigating RA-ILD pathogenesis and developing new therapeutics， and serves as a basis for establishing anti-cyclic citrullinated peptide antibody （ACPA）-positive RA-ILD animal models.

OBJECTIVE To investigate the efficacy and safety of omadacycline in the treatment of macrolide-unresponsive Mycoplasma pneumoniae pneumonia （MUMPP） in children. METHODS A retrospective study was conducted on children aged 1-18 years old with MUMPP who were hospitalized in the Department of Pediatrics， the First Affiliated Hospital of Xinjiang Medical University from January 2022 to June 2025. According to the selection of secondary antibiotics after 72 h of initial treatment with macrolides， they were divided into the omadacycline group and the doxycycline group. Based on conventional treatment， children in the omadacycline group were given intravenous infusion of 2.4 mg/kg （once daily） of omadacycline tosylate， while children in the doxycycline group were given oral doxycycline hydrochloride tablets at 2 mg/kg （twice daily）. The efficacy and safety were compared between the two groups of pediatric patients. Univariate analysis and multivariate Logistic regression analysis were performed on clinical efficacy， and subgroup analysis along with multiple sensitivity analyses were conducted to verify the robustness of the conclusions. RESULTS A total of 284 children with MUMPP were included in this study， with 142 in the omadacycline group and 142 in the doxycycline group. In terms of efficacy， although the hospitalization time of children in the omadacycline group was longer than that in the doxycycline group （ P ＜0.05）， the lung lesion absorption rate and clinical efficacy were significantly higher or better than those in the doxycycline group （ P ＜0.05）. The results of multivariate Logistic regression analysis showed that medication （OR＝5.300， 95%CI： 2.526-11.123）， length of hospital stay （OR＝1.348， 95%CI： 1.167-1.556）， and medication duration （OR＝1.422， 95%CI： 1.169-1.729） were influencing factors of clinical efficacy （ P ＜0.05）. The subgroup analysis results showed that the clinical efficacy of omadacycline was significantly better than that of doxycycline in all subgroups （ P ＜0.05）. The results of multiple sensitivity analysis showed that the regression coefficients B of the four models （gradually adjust variables） before and after inverse probability of treatment weighting were significantly greater than 1 （ P ＜0.05）. In terms of safety， there was no statistically significant difference in the inci dence of adverse drug reactions between the two groups of patients （ χ 2 ＝0.447， P ＝0.504）. CONCLUSIONS In the case of hospitalization and prolonged medication， the efficacy of omadacycline in treating childhood MUMPP is superior to that of doxycycline， and its safety is good.

OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

ObjectiveTo investigate the effects of Shengui Jiangtang Formula on insulin resistance and glucose-lipid metabolism in spontaneous type 2 diabetic db/db mice based on the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/forkhead box protein O1 （FoxO1） signaling pathway， and to provide theoretical foundation for its clinical application through fundamental experiments. MethodsA randomized controlled design was employed in this study. Thirty spontaneous type 2 diabetic db/db mice meeting the inclusion criteria （fasting blood glucose >7.0 mmol·L^-1 and random blood glucose on a different day≥11.1 mmol·L^-1） were selected as the subjects. After stratified block randomization by body weight and blood glucose levels， they were randomly assigned to a model group， a metformin group， and a Shengui Jiangtang formula group， with n=10 per group. Ten db/m mice were used as the normal group. During the 5-week intervention， general indicators （including general condition， fasting blood glucose （FBG）， body weight， and food intake） were recorded weekly. An oral glucose tolerance test （OGTT） was performed at week 5. After 5 weeks， serum was collected to measure glucose-lipid metabolism parameters. Liver tissues were analyzed as follows： Histopathology was observed through hematoxylin and eosin （HE） staining， periodic acid-Schiff （PAS） staining， and Oil red O staining. The expression of proteins and genes related to the PI3K/Akt/FoxO1 signaling pathway was quantitatively analyzed using Western blotting （Western blot） and real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsGeneral observations： The mice in the normal group were generally healthy， exhibited agile responses and had smooth and glossy fur. Compared with the normal group， the mice in the model group displayed typical symptoms of polydipsia， polyphagia， and polyuria， along with listlessness and rough fur. Their food intake， initial body weight， liver weight， and liver index were all significantly higher than those in the normal group （P<0.01）. After 5 weeks of drug intervention， neither the Shengui Jiangtang Formula group nor the metformin group significantly affected the food intake of the model mice. Compared with the model group， no statistically significant difference was observed in liver weight or liver index in the Shengui Jiangtang formula group. Serum biochemical indicators： Compared with the normal group， the model group showed significantly elevated levels of FBG， fasting insulin， homeostatic model assessment of insulin resistance （HOMA-IR）， glycosylated serum protein， and blood lipids. After drug intervention， compared with the model group， the Shengui Jiangtang formula group significantly reduced FBG in the model mice （P<0.01）. The blood glucose levels at all time points during the OGTT in the Shengui Jiangtang Formula group were lower than those in the model group， with statistically significant differences in the 0 min blood glucose and the area under the curve for glucose compared to the model group （P<0.05）. Furthermore， the formula significantly reduced fasting insulin levels， HOMA-IR， and glycosylated serum protein levels （P<0.05）. It also showed a tendency to decrease blood lipids， liver enzymes （aspartate aminotransferase， alanine aminotransferase）， and blood urea nitrogen levels， and a tendency to increase creatinine levels， although these differences were not statistically significant. Liver histomorphology： HE staining indicated that Shengui Jiangtang formula improved the morphological structure of hepatocytes and attenuated steatosis in diabetic mice. Liver PAS staining showed that it increased hepatic glycogen content and promoted hepatic glycogen synthesis in diabetic mice. Oil red O staining demonstrated that it reduced lipid deposition within hepatocytes. Western blot： Compared with the normal group， the model group showed decreased protein expression of PI3K， Akt， p-Akt， and p-FoxO1， and increased FoxO1 protein expression. Compared with the model group， both the metformin and Shengui Jiangtang Formula groups showed increased protein expression of PI3K， Akt， p-Akt， and p-FoxO1， and decreased FoxO1 protein expression. Real-time PCR： Compared with the normal group， the mRNA expression of PI3K and Akt was downregulated （P<0.05）， and the mRNA expression of FoxO1 was downregulated （P<0.05） in the model group. ConclusionShengui Jiangtang Formula can improve insulin resistance and glucose-lipid metabolic disorders in db/db mice. It alleviates hepatic steatosis， promotes hepatic glycogen synthesis， and reduces lipid deposition in these mice. The mechanism by which Shengui Jiangtang Formula improves insulin resistance may be associated with the PI3K/Akt/FoxO1 signaling pathway.

Diabetic retinopathy （DR） is a microvascular complication of diabetes and one of its most common complications. Prolonged hyperglycemia induces oxidative stress， inflammatory responses， apoptosis， and pathological angiogenesis， ultimately disrupting the blood-retinal barrier（BRB） and leading to visual impairment or even blindness. Recent studies show that the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway plays an important role in the development of DR's pathological changes. Meanwhile， Chinese herbal monomers have been shown to modulate the Nrf2 signaling pathway， thereby intervening in the development of DR. In terms of inhibiting oxidative stress， saponin compounds such as platycodin-D and ginsenoside Rb1 downregulate the expression of malondialdehyde （MDA）， thereby ameliorating retinal oxidative stress. Flavonoids such as total flavonoids from Pueraria lobata flower and puerarin upregulate the expression of superoxide dismutase （SOD） and glutathione peroxidase （GPx）， effectively clearing lipid peroxides. Regarding the suppression of inflammation， phenolic compounds like resveratrol and chlorogenic acid inhibit the nuclear factor kappa B （NF-κB） pathway， reducing the release of tumor necrosis factor-alpha （TNF-α） and mitigating inflammatory responses. In the context of inhibiting apoptosis， polysaccharides such as Polygonatum sibiricum polysaccharide and Angelica sinensis polysaccharide downregulate the expression of the pro-apoptotic protein Bcl-2-associated X protein （Bax） and suppress the activity of the executioner Caspase-3， thereby reducing the apoptosis rate. As for the inhibition of neovascularization， compounds including bilobalide and physcion significantly decrease the protein expression of vascular endothelial growth factor （VEGF）， leading to a reduction in retinal pathological angiogenesis. Furthermore， Chinese herbal compound prescriptions such as Tongluo Zhujing pills， Yiqi Huoxue Yangyin decoction， Qiming granules， and Danlou tablets can also intervene in the onset and progression of DR through the mechanisms described above. In summary， both Chinese herbal monomers and Chinese herbal compound prescriptions can modulate the Nrf2 signaling pathway to inhibit oxidative stress， alleviate inflammation， and participate in maintaining BRB integrity， suppressing retinal neovascularization， and preventing neurodegeneration， thereby delaying the progression of DR. Therefore， this paper reviews and summarizes recent studies at home and abroad on how traditional Chinese medicine （TCM） works to treat DR， and the relationship between the Nrf2 pathway and DR. It aims to provide research ideas for preventing and treating DR.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.